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1Academic Journal
المصدر: Rizopoulos , D , Taylor , J M G , Papageorgiou , G & Morgan , T M 2024 , ' Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy ' , Statistical Methods in Medical Research , vol. 33 , no. 5 , pp. 894-908 . https://doi.org/10.1177/09622802241239003
مصطلحات موضوعية: /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, name=SDG 3 - Good Health and Well-being
وصف الملف: application/pdf
الاتاحة: https://pure.eur.nl/en/publications/f7128d3e-7fc8-4a1c-ac51-bb93cc43f8aa
https://doi.org/10.1177/09622802241239003
https://pure.eur.nl/ws/files/146381445/Using_joint_models_for_longitudinal_and_time-to-event_data_to_investigate_the_causal_effect_of_salvage_therapy_after_prostatectomy.pdf
http://www.scopus.com/inward/record.url?scp=85188311218&partnerID=8YFLogxK -
2Academic Journal
المؤلفون: Furgal, Allison K.C., Sen, Ananda, Taylor, Jeremy M.G.
المصدر: International Statistical Review / Revue Internationale de Statistique, 2019 Aug 01. 87(2), 393-418.
URL الوصول: https://www.jstor.org/stable/48554531
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3Academic Journal
المؤلفون: Beesley, Lauren J., Shuman, Andrew G., Mierzwa, Michelle L., Bellile, Emily L., Rosen, Benjamin S., Casper, Keith A., Ibrahim, Mohannad, Dermody, Sarah M., Wolf, Gregory T., Chinn, Steven B., Spector, Matthew E., Baatenburg De Jong, Robert J., Dronkers, Emilie A.C., Taylor, Jeremy M.G.
المصدر: Beesley , L J , Shuman , A G , Mierzwa , M L , Bellile , E L , Rosen , B S , Casper , K A , Ibrahim , M , Dermody , S M , Wolf , G T , Chinn , S B , Spector , M E , Baatenburg De Jong , R J , Dronkers , E A C & Taylor , J M G 2021 , ' Development and Assessment of a Model for Predicting Individualized Outcomes in Patients with Oropharyngeal Cancer ' , JAMA network open , vol. 4 , ....
مصطلحات موضوعية: /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, name=SDG 3 - Good Health and Well-being
وصف الملف: application/pdf
الاتاحة: https://pure.eur.nl/en/publications/94cbf3e5-836d-4bb8-a5fa-d569d9fc1bf1
https://doi.org/10.1001/jamanetworkopen.2021.20055
https://pure.eur.nl/ws/files/56141671/Development_and_Assessment_of_a_Model_for_Predicting_Individualized_Outcomes_in_Patients_With_Oropharyngeal_Cancer.pdf
http://www.scopus.com/inward/record.url?scp=85113171853&partnerID=8YFLogxK -
4Academic Journal
المؤلفون: Kragh Andersen, Per, Pohar Perme, Maja, van Houwelingen, Hans C., Cook, Richard J., Joly, Pierre, Martinussen, Torben, Taylor, Jeremy M.G., Abrahamowicz, Michal, Therneau, Terry M.
المصدر: Kragh Andersen , P , Pohar Perme , M , van Houwelingen , H C , Cook , R J , Joly , P , Martinussen , T , Taylor , J M G , Abrahamowicz , M & Therneau , T M 2021 , ' Analysis of time-to-event for observational studies : Guidance to the use of intensity models ' , Statistics in Medicine , vol. 40 , no. 1 , pp. 185-211 . https://doi.org/10.1002/sim.8757
مصطلحات موضوعية: censoring, Cox regression model, hazard function, immortal time bias, multistate model, prediction, STRATOS initiative, survival analysis, time-dependent covariates
وصف الملف: application/pdf
الاتاحة: https://researchprofiles.ku.dk/da/publications/analysis-of-timetoevent-for-observational-studies(d9202f0a-9da2-45ab-841f-b3bdfe82e02d).html
https://doi.org/10.1002/sim.8757
https://curis.ku.dk/ws/files/312633252/2005.13271.pdf -
5Academic Journal
المؤلفون: Chen, Yi-Hau, Daniels, Michael J., Houwing-Duistermaat, Jeanine, Taylor, Jeremy M.G., Davidian, Marie
المصدر: Biometrics, 2015 Mar 01. 71(1), vii-ix.
URL الوصول: http://www.jstor.org/stable/24538397
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6Academic Journal
المؤلفون: Chen, Yi-Hau, Houwing-Duistermaat, Jeanine, Millar, Russell, Taylor, Jeremy M.G., Davidian, Marie
المصدر: Biometrics, 2014 Mar 01. 70(1), vii-ix.
URL الوصول: http://www.jstor.org/stable/24537881
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7Academic Journal
المؤلفون: Schmitd, Ligia B., Beesley, Lauren J., Russo, Nickole, Bellile, Emily L., Inglehart, Ronald C., Liu, Min, Romanowicz, Genevieve, Wolf, Gregory T., Taylor, Jeremy M.G., D'Silva, Nisha J.
المصدر: Neoplasia ; volume 20, issue 7, page 657-667 ; ISSN 1476-5586
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8Academic Journal
المؤلفون: Houwing-Duistermaat, Jeanine, Millar, Russell, Taylor, Jeremy M.G., Verbeke, Geert, Davidian, Marie
المصدر: Biometrics, 2013 Mar 01. 69(1), vii-x.
URL الوصول: http://dx.doi.org/10.1111/biom.1824
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9Academic Journal
المصدر: Biometrics, 2012 Mar 01. 68(1), vii-x.
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10Academic Journal
المؤلفون: Zhu, Bin, Song, Peter X.-K., Taylor, Jeremy M.G.
المصدر: Biometrics, 2011 Dec 01. 67(4), 1295-1304.
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11Academic Journal
المؤلفون: Li, Yun, Taylor, Jeremy M.G., Elliott, Michael R.
المصدر: Biometrics, 2010 Jun 01. 66(2), 523-531.
URL الوصول: https://www.jstor.org/stable/40663245
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12Academic Journal
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13Academic Journal
المؤلفون: Singhal, Udit, Daignault-Newton, Stephanie, Furgal, Allison K.C., Sun, Yilun, Tosoian, Jeffrey J., Beesley, Lauren J., Dess, Robert T., Jackson, William C., Hollenbeck, Brent K., Hamstra, Daniel A., Palapattu, Ganesh S., Feng, Felix Y., Taylor, Jeremy M.G., Spratt, Daniel E., Morgan, Todd M.
المصدر: Journal of Urology ; volume 207, issue Supplement 5 ; ISSN 0022-5347 1527-3792
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14Academic Journal
المؤلفون: Foster, Jared C., Taylor, Jeremy M.G., Kaciroti, Niko, Nan, Bin
مصطلحات موضوعية: Articles
وصف الملف: text/html
Relation: http://biostatistics.oxfordjournals.org/cgi/content/short/16/2/368; http://dx.doi.org/10.1093/biostatistics/kxu049
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15Academic Journal
مصطلحات موضوعية: Articles
وصف الملف: text/html
Relation: http://biostatistics.oxfordjournals.org/cgi/content/short/16/2/400; http://dx.doi.org/10.1093/biostatistics/kxu043
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16Academic Journal
المؤلفون: Boonstra, Philip S., Shen, Jincheng, Taylor, Jeremy M.G., Braun, Thomas M., Griffith, Kent A., Daignault, Stephanie, Kalemkerian, Gregory P., Lawrence, Theodore S., Schipper, Matthew J.
المصدر: JNCI: Journal of the National Cancer Institute ; volume 107, issue 3 ; ISSN 1460-2105 0027-8874
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17Academic Journal
المؤلفون: Suresh, Krithika, Taylor, Jeremy M.G., Tsodikov, Alexander
مصطلحات موضوعية: copula, survival analysis, longitudinal data, landmark analysis, joint analysis, dynamic prediction, Public Health, Medicine (General), Statistics and Numeric Data, Health Sciences, Science, Social Sciences
وصف الملف: application/pdf
Relation: Suresh, Krithika; Taylor, Jeremy M.G.; Tsodikov, Alexander (2021). "A copula‐based approach for dynamic prediction of survival with a binary time‐dependent covariate." Statistics in Medicine 40(23): 4931-4946.; https://hdl.handle.net/2027.42/170255; Statistics in Medicine; Van Houwelingen HC, Putter H. Dynamic predicting by landmarking as an alternative for multi‐state modeling: an application to acute lymphoid leukemia data. Lifetime Data Anal. 2008; 14 ( 4 ): 447.; Ferrer L, Putter H, Proust‐Lima C. Individual dynamic predictions using landmarking and joint modelling: validation of estimators and robustness assessment. Stat Methods Med Res. 2019; 28 ( 12 ): 3649 ‐ 3666.; Suresh K, Taylor JMG, Tsodikov A. A Gaussian copula approach for dynamic prediction of survival with a longitudinal biomarker. Biostatistics. 2019. https://doi.org/10.1093/biostatistics/kxz049.; Andersen PK, Borgan O, Gill RD, Keiding N. Statistical Models Based on Counting Processes. Berlin, Germany: Springer Science & Business Media; 2012.; Hougaard P. Multi‐state models: a review. Lifetime Data Anal. 1999; 5 ( 3 ): 239 ‐ 264.; Aalen OO, Johansen S. An empirical transition matrix for non‐homogeneous Markov chains based on censored observations. Scand J Stat. 1978; 5 ( 3 ): 141 ‐ 150.; Fiocco M, Putter H, Houwelingen HC. Reduced‐rank proportional hazards regression and simulation‐based prediction for multi‐state models. Stat Med. 2008; 27 ( 21 ): 4340 ‐ 4358.; Suresh K, Taylor JMG, Spratt DE, Daignault S, Tsodikov A. Comparison of joint modeling and landmarking for dynamic prediction under an illness‐death model. Biom J. 2017; 59 ( 6 ): 1277 ‐ 1300.; Jewell Nicholas P, Nielsen JP. A framework for consistent prediction rules based on markers. Biometrika. 1993; 80 ( 1 ): 153 ‐ 164.; Blanche P, Proust‐Lima C, Loubère L, Berr C, Dartigues J‐F, Jacqmin‐Gadda H. Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks. Biometrics. 2015; 71 ( 1 ): 102 ‐ 113.; Efron B, Tibshirani RJ. An Introduction to the Bootstrap. Boca Raton, FL: CRC Press; 1994.; Prenen L, Braekers R, Duchateau L. Extending the Archimedean copula methodology to model multivariate survival data grouped in clusters of variable size. J R Stat Soc Ser B (Stat Methodol). 2017; 79 ( 2 ): 483 ‐ 505.; Spiekerman CF, Lin DY. Marginal regression models for multivariate failure time data. J Am Stat Assoc. 1998; 93 ( 443 ): 1164 ‐ 1175.; Song X‐K. Correlated Data Analysis: Modeling, Analytics, and Applications. Berlin, Germany: Springer Science & Business Media; 2007.; Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986; 42 ( 1 ): 121 ‐ 130.; Andersen PK, Gill RD. Cox’s regression model for counting processes: a large sample study. Ann Stat. 1982; 10 ( 4 ): 1100 ‐ 1120.; Joe H, Xu JJ. The Estimation Method of Inference Functions for Margins for Multivariate Models. Technical Report. University of British Columbia: Department of Statistics; 1996.; Sklar A. Fonctions de répartition à n dimensions et leurs marges. Publications de l’Institut de Statistique de l’Université de Paris. 1959; 8: 229 ‐ 231.; Leon AR, Wu B. Copula‐based regression models for a bivariate mixed discrete and continuous outcome. Stat Med. 2011; 30 ( 2 ): 175 ‐ 185.; Song PX‐K, Li M, Yuan Y. Joint regression analysis of correlated data using Gaussian copulas. Biometrics. 2009; 65 ( 1 ): 60 ‐ 68.; Rizopoulos D. Dynamic predictions and prospective accuracy in joint models for longitudinal and time‐to‐event data. Biometrics. 2011; 67 ( 3 ): 819 ‐ 829.; Rizopoulos D, Murawska M, Andrinopoulou ER, Molenberghs G, Takkenberg JJM, Lesaffre E. Dynamic predictions with time‐dependent covariates in survival analysis using joint modeling and landmarking; 2013. arXiv:1306.6479 [stat.AP].; Rizopoulos D, Molenberghs G, Lesaffre EMEH. Dynamic predictions with time‐dependent covariates in survival analysis using joint modeling and landmarking. Biom J. 2017; 59 ( 6 ): 1261 ‐ 1276.; Houwelingen H, Putter H. Dynamic Prediction in Clinical Survival Analysis. Boca Raton, FL: CRC Press; 2011.; Putter H. dynpred: companion package to "Dynamic prediction in clinical survival analysis." R package version 0.1; 2015:2.
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18Academic Journal
المصدر: Stat Med
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19Academic Journal
المؤلفون: Ma, Vincent T., Su, Christopher T., Hu, Miriam, Taylor, Jeremy M.G., Daignault-Newton, Stephanie, Kellezi, Olesia, Dahl, Megan N., Shah, Miloni A., Erickson, Stephanie, Lora, Jessica, Hamasha, Reema, Ali, Alicia, Yancey, Sabrina, Kiros, Leah, Balicki, Hannah M., Winfield, Daniel C., Green, Michael D., Alva, Ajjai S.
المساهمون: National Institutes of Health
المصدر: Urologic Oncology: Seminars and Original Investigations ; volume 39, issue 7, page 437.e1-437.e9 ; ISSN 1078-1439
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20Academic Journal
المؤلفون: Mistry, Ritesh, Bondarenko, Irina, Jeon, Jihyoun, Brouwer, Andrew F., Mattingly, Delvon T., Hirschtick, Jana L., Jimenez-Mendoza, Evelyn, Levy, David T., Land, Stephanie R., Elliott, Michael R., Taylor, Jeremy M.G., Meza, Rafael, Fleischer, Nancy L.
المساهمون: National Institutes of Health
المصدر: Preventive Medicine ; volume 153, page 106762 ; ISSN 0091-7435